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Record W42475202

Feeling different: the experience of living with fetal alcohol spectrum disorder.

2011· article· en· W42475202 on OpenAlexaboutno aff
Brenda Stade, Joseph Beyene, Kathryn M. Buller, Shannon Ross, Kayla Patterson, Bonnie Stevens, Michael Sgro, Wendy J. Ungar, William H. Watson, Gideon Koren

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingFetal Alcohol Spectrum DisorderQualitative researchPerspective (graphical)PsychologyDevelopmental psychologyActivities of daily livingClinical psychologyMedicinePsychiatryPregnancySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: In Canada the incidences of Fetal Alcohol Spectrum Disorder (FASD) is estimated to be in 1 in 100 live births caused by prenatal exposure to alcohol, the disorder is the leading cause of developmental and cognitive disabilities among Canadian children and its effects are life lasting. No research has attempted to describe the experience of living with FASD from the perspective of Canadian children. PURPOSE: The main purpose of this study was to describe the children's experience of living with FASD. METHODS: A qualitative method was used to examine the children's experiences. Twenty-two (22) children, aged 6 to 18 years, living in urban and rural communities across Canada participated in an unstructured in-depth interview. Data was analysed using Colaizzi's qualitative method. RESULTS: For all children in this study, living day-to-day with FASD meant feeling different. Within this construct knowing the disability; feeling alone-feeling supported, and overcoming the disability were dominant themes which emerged. CONCLUSION: Implications for practice and research have been described. KEYWORDS: Fetal Alcohol Spectrum Disorder, children's experience, qualitative research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.218
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations32
Published2011
Admission routes1
Has abstractyes

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